{"id":71779,"date":"2022-08-21T20:00:35","date_gmt":"2022-08-21T13:00:35","guid":{"rendered":"https:\/\/www.its.ac.id\/news\/?p=71779"},"modified":"2022-08-22T04:19:44","modified_gmt":"2022-08-21T21:19:44","slug":"omits-kenalkan-tiga-tipe-algoritma-dalam-machine-learning","status":"publish","type":"post","link":"https:\/\/www.its.ac.id\/news\/omits-kenalkan-tiga-tipe-algoritma-dalam-machine-learning\/","title":{"rendered":"OMITS Kenalkan Tiga Tipe Algoritma dalam Machine Learning"},"content":{"rendered":"
<\/div>\n
\"\"
Data Analytics (DA) Lead Niagahoster yakni Muhammad Sifaul Rizky yang menyampaikan materi terkait machine learning<\/em> dalam OMITS 2022<\/figcaption><\/figure>\n

Kampus ITS, ITS News \u2013 <\/b>Kompetisi Olimpiade Matematika Institut Teknologi Sepuluh Nopember (OMITS) kembali hadir membuka pandangan bahwa Matematika tidak hanya perihal perhitungan saja. Lewat <\/span>webinar<\/span><\/i>-nya, OMITS kenalkan tiga tipe algoritma dalam <\/span>machine learning<\/span><\/i>, Sabtu (20\/8).<\/span><\/p><\/blockquote>\n

Data Analytics Lead Niagahoster, Muhammad Sifaul Rizky mengatakan bahwa terdapat tiga tipe utama dalam algoritma <\/span>machine learning. Machine learning<\/span><\/i> sendiri merupakan mesin yang dikembangkan untuk dapat belajar dengan sendiri tanpa arahan dari penggunanya. Adapun ketiga algoritma tersebut adalah <\/span>supervised, unsupervised, <\/span><\/i>dan <\/span>reinforcement.<\/span><\/i><\/p>\n

Rizky mengulik, <\/span>supervised learning<\/span><\/i> merupakan algoritma paling populer dalam <\/span>machine learning<\/span><\/i>. \u201cSebenarnya, algoritma ini belajar dari data yang sudah ada jawabannya. Sebagai contoh, teman-teman mengetahui apabila satu tambah satu sama dengan dua,\u201d papar alumnus ITS tersebut.<\/span><\/p>\n

\"\"
Muhammad Sifaul Rizky memberikan ilustrasi terkait tiga tipe algoritma dalam machine learning<\/em><\/figcaption><\/figure>\n

Rizky pun menganalogikan, cara algoritma <\/span>supervised learning<\/span><\/i> bekerja mirip dengan manusia yang diberikan pengetahuan baru melalui teori yang sudah ada. Dalam hal ini, data yang dipelajari sudah termasuk ke dalam fakta atau data berlabel. Oleh karena itu, <\/span>supervised learning<\/span><\/i> mengidentifikasi data secara eksplisit dan melakukan prediksi atau klasifikasi yang sesuai.<\/span><\/p>\n

Berbanding terbalik dengan <\/span>supervised learning, <\/span><\/i>Rizky menuturkan, <\/span>unsupervised learning<\/span><\/i> bekerja dengan metode yang berbeda. <\/span>Unsupervised learning<\/span><\/i> merupakan algoritma yang menganalisis dan mengidentifikasi data yang belum berlabel. \u201cDalam <\/span>unsupervised learning<\/span><\/i>, bisa saja satu ditambah satu hasilnya sama dengan sepuluh,\u201d terang laki-laki yang andal mengoperasikan bahasa pemrograman Python itu.<\/span><\/p>\n

Menyambung pernyataan sebelumnya, Rizky melanjutkan bahwa algoritma yang bekerja melalui metode <\/span>unsupervised learning<\/span><\/i> tidak bisa mengetahui kebenaran maupun kesalahan data. Namun, pendekatan yang digunakan lebih kepada mencari pola dari suatu data melalui teknik pengelompokan objek ke dalam suatu grup seperti logika klaster.<\/span><\/p>\n

\"\"Klasifikasi dalam algoritma\u00a0machine learning<\/em>\u00a0yang berupa\u00a0supervised learning, unsupervised learning,\u00a0<\/em>dan\u00a0reinforcement learning<\/em><\/p>\n

Terakhir, Rizky menjelaskan terkait cara kerja algoritma <\/span>reinforcement learning<\/span><\/i> yang menurutnya mirip dengan <\/span>supervised learning<\/span><\/i>. Akan tetapi, algoritma-algoritma dalam <\/span>reinforcement learning <\/span><\/i>tidak dilatih menggunakan data yang sederhana. \u201c<\/span>Reinforcement learning <\/span><\/i>mempelajari data melalui pengimplementasian konsep uji coba dan kegagalan atau <\/span>trial and error<\/span><\/i>,\u201d ungkap Rizky.<\/span><\/p>\n

Rizky kembali membuat analogi terkait kerangka berpikir <\/span>reinforcement learning <\/span><\/i>yang cenderung mengevaluasi perilaku dalam suatu kasus. Apabila jawaban yang diberikan benar maka akan mendapatkan umpan balik. Namun, apabila jawaban yang diberikan salah, tidak akan mendapatkan apa pun. Dengan demikian, <\/span>reinforcement learning<\/span><\/i> bekerja berdasarkan lingkungan yang dinamis untuk mencapai suatu target tertentu.<\/span><\/p>\n

\"\"
Muhammad Sifaul Rizky saat sesi pemberian sertifikat di akhir pemaparan<\/figcaption><\/figure>\n

Mengakhiri pembahasan<\/span> di atas, Rizky menjabarkan, ilmu mengenai <\/span>machine learning<\/span><\/i> tidak akan lepas dari <\/span>data science.<\/span><\/i> Kendati demikian, penerapan <\/span>machine learning <\/span><\/i>bermanfaat untuk mengekstrak data menjadi informasi yang berguna bagi keberlangsungan suatu usaha melalui siklus berupa pemahaman bisnis, pemahaman dan pengoperasian data, serta evaluasi dan pengembangan. <\/span>(*)<\/b><\/p>\n

\u00a0<\/span><\/p>\n

Reporter: Yanwa Evia Java<\/b>
\n<\/b>Redaktur: Muhammad Faris Mahardika<\/b><\/p>\n","protected":false},"excerpt":{"rendered":"

Kampus ITS, ITS News \u2013 Kompetisi Olimpiade Matematika Institut Teknologi Sepuluh Nopember (OMITS) kembali hadir membuka pandangan bahwa Matematika tidak hanya perihal perhitungan saja. Lewat webinar-nya, OMITS kenalkan tiga tipe algoritma dalam machine learning, Sabtu (20\/8). Data Analytics Lead Niagahoster, Muhammad Sifaul Rizky mengatakan bahwa terdapat tiga tipe utama dalam algoritma machine learning. Machine learning […]<\/p>\n","protected":false},"author":255,"featured_media":71792,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[26,60],"tags":[232,517],"class_list":["post-71779","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kampus-kita","category-kkn-abmas","tag-dik","tag-jev"],"yoast_head":"\nOMITS Kenalkan Tiga Tipe Algoritma dalam Machine Learning - ITS News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.its.ac.id\/news\/omits-kenalkan-tiga-tipe-algoritma-dalam-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OMITS Kenalkan Tiga Tipe Algoritma dalam Machine Learning - ITS News\" \/>\n<meta property=\"og:description\" content=\"Kampus ITS, ITS News \u2013 Kompetisi Olimpiade Matematika Institut Teknologi Sepuluh Nopember (OMITS) kembali hadir membuka pandangan bahwa Matematika tidak hanya perihal perhitungan saja. Lewat webinar-nya, OMITS kenalkan tiga tipe algoritma dalam machine learning, Sabtu (20\/8). Data Analytics Lead Niagahoster, Muhammad Sifaul Rizky mengatakan bahwa terdapat tiga tipe utama dalam algoritma machine learning. 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